WIKTBratislava, 28. november Semantic Organization/Enterprise Vision Michal Laclavik, Ladislav Hluchy, Marian Babik, Zoltan Balogh, Ivana Budinska, Martin Seleng Ústav Informatiky SAV

WIKTBratislava, 28. november Outline Motivation Processing of Information for Knowledge Management Organizational Memories Semantic based Workflows and Services

WIKTBratislava, 28. november Knowledge Management Knowledge is key asset Employees are coming and going Needs for managing assets Knowledge Management (KM) is the process through which organizations generate value from their intellectual and knowledge-based assets (Source: CIO Magazine) Characters Data Information Knowledge Actions Syntax Semantics Pragmatics Reasoning (Bergman, 2002, Experience Management) Data: 20 Information: 20 o C Knowledge: room temperature

WIKTBratislava, 28. november Vision of Semantic Web The Semantic Web is a mesh of information linked up in such a way as to be easily processable by machines, on a global scale. You can think of it as being an efficient way of representing data on the World Wide Web, or as a globally linked database. (Source: - The Semantic Web: An Introduction)

WIKTBratislava, 28. november Vision of Semantic Organization/Enterprise To have all information and data available for computer processing via Semantic Web technology (XML, RDF, OWL) Ontology translation not so important on one domain … Document and Text analysis results using Semantic annotation are part of this Conversion or mapping of RDBMS to XML/RDF/OWL Active Providing of Information and Knowledge Workflows of Tasks and Services

WIKTBratislava, 28. november Ontology based Text Annotation - OnTeA Detecting Meta data from Text Preparing improved structured data for later computer processing Structured data are based on application ontology model => +

WIKTBratislava, 28. november Objective: Assist user to provide information in context EMBET: User Assistant Collaboration among Users Knowledge Sharing and Recommendation Proactive Knowledge Provision Reuse of Knowledge: Notes, Workflows, Results

WIKTBratislava, 28. november EMBET: Achievements Software with following functionality –User Problem description –Displaying Knowledge –Adding Knowledge –Knowledge Reuse –Permanent Notes Storage –Voting on Notes EMBET architecture: Core, GUI Context detection Context Matching to display information & knowledge Plain text analysis using Advanced Semantic Annotation Algorithms – OnTeA Theory of different context matching algorithms

WIKTBratislava, 28. november Presentation of Ontology based Knowledge Ontology Tree –Browse window Graph –Good for further research XSL Transformation –RDF/OWL => Plain XML + XSL => HTML –Infrastructure to receive plain XML using XML-RPC

WIKTBratislava, 28. november Similarity Measures OntoSim EMBET Pellucid

WIKTBratislava, 28. november NAZOU Project

WIKTBratislava, 28. november ACoMA: s Each organization Context sensitive Action Oriented

WIKTBratislava, 28. november Conclusion: Processing of Information for Knowledge Management Information context detection User context detection Information versus user context matching Displaying the knowledge

WIKTBratislava, 28. november Knowledge Bases Pellucid NAZOU K Wf Grid

WIKTBratislava, 28. november PELLUCID USERS Pellucid – user interaction CONTEXT & ACTIONS ACTIVE HINTS USER FEEDBACK Workflow Tracking/Management System Pellucid “core” Pellucid interface

WIKTBratislava, 28. november Knowledge Analysis Analysis of Workflows Case-base Reasoning Prediction

WIKTBratislava, 28. november K Wf Grid Project Semantic Service Oriented Architecture Workflows of Web Services

WIKTBratislava, 28. november Conclusion Semantic Organization/Enterprise Vision Processing of Info and Knowledge Knowledge Bases Semantic Service Oriented Architectures